class_docstr: A dummy classification model for testing purposes.
class_docstr_tok: ["A","dummy","classification","model","for","testing","purposes","."]
code: def __init__(self):
      dataset_meta_data = {
          "num_classes": NUM_CLASSES,
          "target_is_onehot": False,
      }
      super().__init__(
          ml_collections.ConfigDict(),  # An empty config dict.
          dataset_meta_data,
      )
  
file_path: scenic/scenic/model_lib/base_models/tests/test_classification_model.py
imports: from absl.testing import absltest
  from flax import jax_utils
  import jax
  import jax.numpy
  import ml_collections
  import numpy
  from scenic.model_lib.base_models import classification_model
label_desc: Use image node_id 1 to create a new FakeClassificationModel object from inherited base classes: classification_model with example: obj = FakeClassificationModel()